diff --git a/assets/mlflow/research.ipynb b/assets/mlflow/research.ipynb index dc0ad55..f95e5a1 100644 --- a/assets/mlflow/research.ipynb +++ b/assets/mlflow/research.ipynb @@ -7361,1511 +7361,9 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/andrey/work/institute/MLE/assets/mlflow/.venv_ml2/lib/python3.10/site-packages/autofeat/featsel.py:270: FutureWarning: Series.ravel is deprecated. The underlying array is already 1D, so ravel is not necessary. Use `to_numpy()` for conversion to a numpy array instead.\n", - " if np.max(np.abs(correlations[c].ravel()[:i])) < 0.9:\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Learning rate set to 0.105957\n", - "0:\tlearn: 22098446.5317890\ttotal: 26.8ms\tremaining: 26.8s\n", - "1:\tlearn: 21992091.7064548\ttotal: 48.4ms\tremaining: 24.2s\n", - "2:\tlearn: 21903440.5994842\ttotal: 68.8ms\tremaining: 22.9s\n", - "3:\tlearn: 21830593.5742740\ttotal: 91.3ms\tremaining: 22.7s\n", - "4:\tlearn: 21748722.8033271\ttotal: 133ms\tremaining: 26.4s\n", - "5:\tlearn: 21688987.8050450\ttotal: 165ms\tremaining: 27.3s\n", - "6:\tlearn: 21646302.4819252\ttotal: 184ms\tremaining: 26.1s\n", - "7:\tlearn: 21610896.0334767\ttotal: 212ms\tremaining: 26.3s\n", - "8:\tlearn: 21575613.5629762\ttotal: 231ms\tremaining: 25.4s\n", - "9:\tlearn: 21532487.6625332\ttotal: 250ms\tremaining: 24.7s\n", - "10:\tlearn: 21508450.4917176\ttotal: 268ms\tremaining: 24.1s\n", - "11:\tlearn: 21488319.9869637\ttotal: 286ms\tremaining: 23.6s\n", - 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Pipeline(steps=[('preprocessor',\n", - " ColumnTransformer(transformers=[('num', StandardScaler(),\n", - " ['geo_lat', 'geo_lon',\n", - " 'level', 'levels', 'rooms',\n", - " 'area', 'kitchen_area']),\n", - " ('cat',\n", - " OrdinalEncoder(handle_unknown='use_encoded_value',\n", - " unknown_value=99999999),\n", - " ['region', 'building_type',\n", - " 'object_type']),\n", - " ('afr',\n", - " Pipeline(steps=[('autofeat',\n", - " <__main__.AutoFeatWrapper object at 0x7448995df580>),\n", - " ('scaler',\n", - " StandardScaler())]),\n", - " ['geo_lat', 'geo_lon',\n", - " 'level', 'levels', 'rooms',\n", - " 'area', 'kitchen_area'])])),\n", - " ('model',\n", - " <catboost.core.CatBoostRegressor object at 0x7448bd575f60>)])In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
Pipeline(steps=[('preprocessor',\n", - " ColumnTransformer(transformers=[('num', StandardScaler(),\n", - " ['geo_lat', 'geo_lon',\n", - " 'level', 'levels', 'rooms',\n", - " 'area', 'kitchen_area']),\n", - " ('cat',\n", - " OrdinalEncoder(handle_unknown='use_encoded_value',\n", - " unknown_value=99999999),\n", - " ['region', 'building_type',\n", - " 'object_type']),\n", - " ('afr',\n", - " Pipeline(steps=[('autofeat',\n", - " <__main__.AutoFeatWrapper object at 0x7448995df580>),\n", - " ('scaler',\n", - " StandardScaler())]),\n", - " ['geo_lat', 'geo_lon',\n", - " 'level', 'levels', 'rooms',\n", - " 'area', 'kitchen_area'])])),\n", - " ('model',\n", - " <catboost.core.CatBoostRegressor object at 0x7448bd575f60>)])
ColumnTransformer(transformers=[('num', StandardScaler(),\n", - " ['geo_lat', 'geo_lon', 'level', 'levels',\n", - " 'rooms', 'area', 'kitchen_area']),\n", - " ('cat',\n", - " OrdinalEncoder(handle_unknown='use_encoded_value',\n", - " unknown_value=99999999),\n", - " ['region', 'building_type', 'object_type']),\n", - " ('afr',\n", - " Pipeline(steps=[('autofeat',\n", - " <__main__.AutoFeatWrapper object at 0x7448995df580>),\n", - " ('scaler', StandardScaler())]),\n", - " ['geo_lat', 'geo_lon', 'level', 'levels',\n", - " 'rooms', 'area', 'kitchen_area'])])
['geo_lat', 'geo_lon', 'level', 'levels', 'rooms', 'area', 'kitchen_area']
StandardScaler()
['region', 'building_type', 'object_type']
OrdinalEncoder(handle_unknown='use_encoded_value', unknown_value=99999999)
['geo_lat', 'geo_lon', 'level', 'levels', 'rooms', 'area', 'kitchen_area']
<__main__.AutoFeatWrapper object at 0x7448995df580>
StandardScaler()
<catboost.core.CatBoostRegressor object at 0x7448bd575f60>